code: def test_variable_shrink_prime_number(self):
      v = Variable("v", 1, 400).bind(367)
      a = Tensor.rand(400, 367)
      b = (a.shrink(((0, v), None)) + 1).reshape(367, 367).realize()
      np.testing.assert_allclose(
          b.numpy(), a.numpy()[:367] + 1, atol=1e-4, rtol=1e-4
      )
  
file_path: tinygrad/extra/optimization/test_beam_search.py
imports: import unittest
  import numpy
  from tinygrad.helpers import BEAM, Timing
  from tinygrad.shape.symbolic import Variable
  from tinygrad.tensor import Tensor
  from tinygrad.nn import Conv2d
label_desc: Use image node_id 8 for calling the TestBeamSearch obj's underlying member method code with example usage: obj.test_variable_shrink_prime_number() without return types